Patrick May

3.5k total citations · 2 hit papers
75 papers, 2.6k citations indexed

About

Patrick May is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Patrick May has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cognitive Neuroscience, 18 papers in Experimental and Cognitive Psychology and 9 papers in Signal Processing. Recurrent topics in Patrick May's work include Neuroscience and Music Perception (57 papers), Neural dynamics and brain function (52 papers) and Hearing Loss and Rehabilitation (27 papers). Patrick May is often cited by papers focused on Neuroscience and Music Perception (57 papers), Neural dynamics and brain function (52 papers) and Hearing Loss and Rehabilitation (27 papers). Patrick May collaborates with scholars based in Finland, United Kingdom and Germany. Patrick May's co-authors include Hannu Tiitinen, H Tiitinen, Risto Näätänen, K. Reinikainen, Ville Mäkinen, Paavo Alku, Nelli H. Salminen, Risto J. Ilmoniemi, Iiro P. Jääskeläinen and Kalle Palomäki and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Patrick May

74 papers receiving 2.6k citations

Hit Papers

Attentive novelty detection in humans is governed by pre-... 1994 2026 2004 2015 1994 2009 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick May Finland 24 2.5k 919 303 148 119 75 2.6k
Hannu Tiitinen Finland 30 3.2k 1.3× 1.4k 1.5× 383 1.3× 159 1.1× 320 2.7× 75 3.4k
Alexander Gutschalk Germany 25 2.1k 0.9× 486 0.5× 187 0.6× 153 1.0× 72 0.6× 60 2.4k
Andreas Widmann Germany 30 2.6k 1.1× 1.1k 1.2× 187 0.6× 163 1.1× 197 1.7× 82 2.9k
Molly J. Henry Germany 25 1.9k 0.8× 634 0.7× 158 0.5× 87 0.6× 138 1.2× 72 2.0k
Anne Caclin France 26 1.8k 0.7× 740 0.8× 273 0.9× 116 0.8× 116 1.0× 74 2.0k
Pierre Ahad Canada 12 2.3k 0.9× 1.1k 1.2× 198 0.7× 111 0.8× 246 2.1× 16 2.5k
Joel S. Snyder United States 25 2.1k 0.8× 738 0.8× 424 1.4× 90 0.6× 94 0.8× 81 2.3k
Sundeep Teki United Kingdom 21 1.5k 0.6× 431 0.5× 105 0.3× 163 1.1× 103 0.9× 32 1.7k
Alexandra Bendixen Germany 26 2.3k 0.9× 1.0k 1.1× 223 0.7× 90 0.6× 96 0.8× 87 2.4k
Marie‐Hélène Giard France 26 2.9k 1.2× 1.5k 1.6× 214 0.7× 370 2.5× 244 2.1× 36 3.1k

Countries citing papers authored by Patrick May

Since Specialization
Citations

This map shows the geographic impact of Patrick May's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick May more than expected).

Fields of papers citing papers by Patrick May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick May. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick May. The network helps show where Patrick May may publish in the future.

Co-authorship network of co-authors of Patrick May

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick May. A scholar is included among the top collaborators of Patrick May based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick May. Patrick May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arena, Giuseppe, Thomas Gasser, Anne Grünewald, et al.. (2025). Methodological validation of Miro1 retention as a candidate Parkinson’s disease biomarker. npj Parkinson s Disease. 11(1). 270–270. 1 indexed citations
2.
Brosch, Michael, et al.. (2024). Hemispheric difference of adaptation lifetime in human auditory cortex measured with MEG. Hearing Research. 458. 109173–109173.
3.
Espinoza, Arturo I., Rachel C. Cole, Arun Singh, et al.. (2024). Resting-state EEG measures cognitive impairment in Parkinson’s disease. npj Parkinson s Disease. 10(1). 12 indexed citations
4.
Espinoza, Arturo I., Patrick May, Arun Kumar Singh, et al.. (2022). A pilot study of machine learning of resting-state EEG and depression in Parkinson’s disease. Clinical Parkinsonism & Related Disorders. 7. 100166–100166. 4 indexed citations
5.
May, Patrick, et al.. (2019). Explaining event-related fields by a mechanistic model encapsulating the anatomical structure of auditory cortex. Biological Cybernetics. 113(3). 321–345. 10 indexed citations
6.
May, Patrick, et al.. (2016). Capturing contextual effects in spectro-temporal receptive fields. Hearing Research. 339. 195–210. 2 indexed citations
7.
May, Patrick, et al.. (2015). Memory Stacking in Hierarchical Networks. Neural Computation. 28(2). 327–353. 6 indexed citations
8.
Alku, Paavo, et al.. (2012). Cortical processing of degraded speech sounds: Effects of distortion type and continuity. NeuroImage. 60(2). 1036–1045. 5 indexed citations
9.
Yrttiaho, Santeri, Patrick May, Hannu Tiitinen, & Paavo Alku. (2011). Cortical encoding of aperiodic and periodic speech sounds: Evidence for distinct neural populations. NeuroImage. 55(3). 1252–1259. 3 indexed citations
10.
Alku, Paavo, et al.. (2010). Responsiveness of the human auditory cortex to degraded speech sounds: Reduction of amplitude resolution vs. additive noise. Brain Research. 1367. 298–309. 8 indexed citations
11.
Pekkonen, Eero, et al.. (2010). The effects of healthy aging on auditory processing in humans as indexed by transient brain responses. Clinical Neurophysiology. 121(6). 902–911. 19 indexed citations
12.
Pekkonen, Eero, et al.. (2010). The effects of cortical ischemic stroke on auditory processing in humans as indexed by transient brain responses. Clinical Neurophysiology. 121(6). 912–920. 10 indexed citations
13.
Liikkanen, Lassi A., et al.. (2007). The right-hemispheric auditory cortex in humans is sensitive to degraded speech sounds. Neuroreport. 18(6). 601–605. 18 indexed citations
14.
May, Patrick, et al.. (2007). The contribution of high frequencies to human brain activity underlying horizontal localization of natural spatial sounds. BMC Neuroscience. 8(1). 78–78. 1 indexed citations
15.
Tiitinen, Hannu, Nelli H. Salminen, Kalle Palomäki, et al.. (2005). Neuromagnetic recordings reveal the temporal dynamics of auditory spatial processing in the human cortex. Neuroscience Letters. 396(1). 17–22. 36 indexed citations
16.
Mäkinen, Ville, Patrick May, & Hannu Tiitinen. (2005). The use of stationarity and nonstationarity in the detection and analysis of neural oscillations. NeuroImage. 28(2). 389–400. 11 indexed citations
17.
Palomäki, Kalle, Hannu Tiitinen, Ville Mäkinen, Patrick May, & Paavo Alku. (2005). Spatial processing in human auditory cortex: The effects of 3D, ITD, and ILD stimulation techniques. Cognitive Brain Research. 24(3). 364–379. 82 indexed citations
18.
May, Patrick & H Tiitinen. (2004). Auditory scene analysis and sensory memory: the role of the auditory N100m.. PubMed. 2004. 19–19. 11 indexed citations
19.
Mäkinen, Ville, Patrick May, & Hannu Tiitinen. (2004). Human auditory event-related processes in the time-frequency plane. Neuroreport. 15(11). 1767–1771. 17 indexed citations
20.
Mäkinen, Ville, Hannu Tiitinen, & Patrick May. (2004). Auditory event-related responses are generated independently of ongoing brain activity. NeuroImage. 24(4). 961–968. 122 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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